Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
India ranks second position in wheat production in the world with a contribution of roughly 13.53 percent to global wheat output. However, India was one of the top exporters in the world since its export market has historically been a significant economic driver. The main objective of present study is to showcase the export performance of wheat in India. For this, data related to export (quantity) among the countries namely Bangladesh, United Arab Emirates, Republic of Korea, Indonesia, Philippines, Yemen, Nepal, Malaysia and Vietnam are collected for the period of 20 years i.e. from 2000 to 2020 as to understand import dynamics among the countries, through Markov-chain analysis. From the results of Transition Probability matrix, the countries Nepal and Republic of Korea are identified as the most stable market for wheat export among the other major importing countries as due to highest probability of retention at 0.6697 and 0.5861, respectively. Whereas Indonesia, Yemen, Malaysia and Vietnam are recognized as the most unstable markets as they retained zero percent of wheat imports from India. Finally, it is concluded as the policies should focus on fostering positive trade links with the stable destinations in order to reap its benefits.
Keywords:
Markov-chain analysis, Wheat, Export, India.
Cite Article:
"Export Performance of Wheat from India: A Markov Chain Analysis", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.7, Issue 12, page no.364 - 366, December-2022, Available :http://www.ijrti.org/papers/IJRTI2212048.pdf
Downloads:
000205156
ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator